Associate Professor Dr. Zaini Abdul Halim

Infografik Zaini Abdul Halim 2022v3

Last updated on 29.09.2022

Personal Info

Universiti Sains Malaysia (USM).

Universiti Sains Malaysia (USM).

B.Eng (Hons)
Universiti Sains Malaysia (USM).

Tel : +604 5996061
Fax : +604 5996909
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Researcher Identifiers
Researcher ID : S-8221-2019
ORCID : 0000-0002-3009-2327
Scopus Author ID: 36602187100
Google Scholar ID: 
USM Expertise Link :

Last updated on 01.11.2022


System Design

Research Interest

Digital System Design and Embedded System Design

Selected Publications

1. Yee Ming Chung, Zaini Abdul Halim, 2014, Adaptive Neuro Fuzzy Inference System as cache Memory replacement Policy, Advances in Electrical and Computer Engineering, Volume 14, 15-24.

2. Earn Tzeh Tan, Zaini Abdul Halim, 2014, Hardware Implementation of Artificial Neural Network on FPGA for the Application of Sulphate Reducing Bacteria Detection, Wulfenia Journal, Vol 21, 139-164

3. U.Devi Chandaran, Z.Abdul Halim, E.T.Tzeh, I.Darah, A.R.Rashidah, N.Mohamad, 2012, Electronic based Detection Kit to Detect Sulfate Reducing Bacteria, Wulfenia Journal, pp 118-141

4. Norasyikin Fadilah, Junita Mohamad Saleh, Zaini Abdul Halim, Haidi Ibrahim, Syed Salim Syed Ali, 2012, Intelligent Color Vision System for Ripeness Classification of Oil Palm Fresh Fruit Bunch, Sensors, pp 14179-14179

5. Earn Tzeh Tan, Zaini Abdul Halim, Darah Ibrahim, Rashidah Abdul Rahim, Junita Mohamad Saleh, Umadevi Chandaran, 2012, Artificial Neural Network based electronic Nose for the Detection of Sulphate reducing bacteria, Sensors & Transducer Journal, pp 50-59

6. Earn Tzeh Tan, Zaini Abdul Halim, 2015, A novel Approach to detect Sulphate Reducing Bacteria – Main Contributor of Microbiologically Influenced Corrosion, American Association for Science and Technology, Vol 1, Issue 4, 120-124

7. Earn Tzeh Tan, Zaini Abdul Halim, 2012, Development of an Artificial Neural Network System for Sulphate reducing Bacteria Detection by Using Model Based Design Technique, IEEE, pp 352-355

8. Pheng Zhi Heng, Zaini Abdul Halim, Junita Mohamad saleh, Haidi Ibrahim, 2013, Oil Palm Fruit Ripeness Detection Kit for harvesting Decison , ELEKTROPIKA; Int. J. Of Electrical, Electronic Engineering and Technology, Vol 3, 41-56



1.  The Development of Electronic Nose to Determine the Present Sulphat Reducing Bacteria in Water System, USM (RU), RM 42,300.00, Sept 2009 – Feb 2012

2.  Electronic Kit for sulphate reducing bacteria, Kementerian Pengajian Tinggi, RM150,800, Nov 2011-Oct 2013

3.  Fruit Ripeness Optical Detector, Felda Agricultural Services Sdn. Bhd, RM 135,000.00, Dec 2010 – Dec 2013

4.  Study on Current Enchancment in Microbial Fuel Cell using Sulphat Reducing Bacteria, Kementerian Pengajian Tinggi, RM 84,540.00,June 2012 –             May 2014

5.  Study on optimization of power consumption in heater design on flexible circuits, CREST, RM 298900 Mac 2013-Feb 2015, QDOS Technology Sdn Bhd